Preview of Our Interview with Author Pedro Domingos
The next installment in ODSC’s popular lightning interview series will feature Pedro Domingos, Professor Emeritus of Computer Science at the University of Washington and recipient of the SIGKDD Innovation Award. Pedro is also the author of The Master Algorithm: How the Quest for the Ultimate Learning... Read more
Five Important Trends in Machine Learning Safety & Security
With the rapid rise of machine learning in multiple industries, safety and security questions have arisen. So, as technology becomes further integrated into our lives, what is being done to protect individuals, families, companies, and nations from bad actors? Well according to our research, there is... Read more
How to Use Large AI Models at Low Costs
Editor’s Note: James Demmel, PhD and Yang You, PhD are speakers for ODSC West 2022 coming this November 1st-3rd. Be sure to check out their talk, “Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training,” there! The success of the Transformer models has pushed the... Read more
Announcing the Keynotes for ODSC APAC 2022
With just a few weeks until our 3rd annual ODSC APAC Virtual Conference coming up this September 7th-8th, we couldn’t be more excited to announce our Keynote Speakers. These luminaries from industry and academia have won numerous awards, developed new tools and technology, and worked to... Read more
Overcome Your AI Challenges: Three CloudFactory Presentations at ODSC Europe in London
AI needs deep learning, and deep learning needs a wealth of labeled data. But how to get that data? It’s not easy. Securing the data you need for deep learning requires skill. It presents ethical challenges. And both the data and labeling must be accurate and... Read more
Explainability by Design: A Methodology to Support Explanations in Decision-Making Systems
Editor’s note: Luc Moreau is a speaker for ODSC Europe 2022. Be sure to check out his talk, “Explainability by Design: a Methodology to Support Explanations in Decision-making Systems,” there! There are increasing calls for the explainability of data-intensive applications.  Such a demand for explainability stems... Read more
AutoML and the Future of Data Science
If you’re reading this, you likely already know what AutoML, or Automated Machine Learning, is. It’s a tool built by Google to automate the full machine learning pipeline, and Microsoft and Amazon have their own implementations in the cloud as well. Automated Machine Learning is built to conduct a... Read more
Don’t get us wrong, we love and use BI tools, but we believe that business logic should live somewhere more universal and accessible. It’s no secret that most companies use multiple downstream tools to visualize, report, analyze, and act on data. By downstream, I’m referring to... Read more
How to Compute Sentence Similarity Using BERT and Word2Vec
We often need to encode text data, including words, sentences, or documents into high-dimensional vectors. Sentence embedding is an important step in various NLP tasks such as sentiment analysis and extractive summarization. A flexible sentence embedding library is needed to prototype fast and to tune for... Read more
Predicting the Myers-Briggs Type Indicator (MBTI) of Celebrities Based on Their Favorite Books
Personality prediction tools have been a beneficial and significant tool in the business world. Whether it’s about hiring employees or tailoring products as per a customer’s need, this tool is growing in popularity for fact-based decision-making. One such personality inventory used worldwide is Myers-Briggs Type Indicator... Read more